At a Glance
- Tasks: Support product builds, analyse data, and improve systems to drive business decisions.
- Company: Shape Underwriting, a dynamic MGA focused on innovative insurance products.
- Benefits: Gain hands-on experience in a fast-paced environment with growth opportunities.
- Other info: Ideal for graduates eager to kickstart their career in data and analytics.
- Why this job: Make a real impact by shaping products and influencing key business outcomes.
- Qualifications: Strong analytical skills and a passion for technology and product development.
The predicted salary is between 60000 - 80000 £ per year.
At Shape Underwriting, we’re not just underwriting risk - we’re building products, platforms, and a business that can scale. That means constantly evolving how our products perform, how our systems work, and how we use data to make better decisions. This role sits right at the centre of that. You’ll join Shape Digital, where underwriting, data, and technology come together - learning how insurance products are built and traded, and how platforms bring them to life. From there, your role quickly grows. You won’t just be producing reports - you’ll be helping to improve products, spot opportunities, and influence decisions across the business. If you want to do more than just analyse data, this is a role where your work will actually shape outcomes.
Where you fit: Shape Underwriting is a specialist MGA within Clear Group, focused on delivering innovative products and exceptional service to brokers and their clients. Shape Digital is how we make that happen. It’s the team responsible for building and evolving our trading platforms - turning underwriting expertise into scalable digital products, and using data to continuously improve performance and the broker experience. You’ll be working right at that intersection - data, product, and underwriting - with real exposure to how a growing business operates.
What you’ll be doing: Your role will evolve as you build confidence, but early on you’ll focus on:
- Supporting product builds - from research through to testing and launch
- Producing performance reporting and management information
- Maintaining systems, including user setup and issue resolution
- Acting as a key contact for internal system queries
- Analysing data to identify trends, risks, and opportunities
- Working with senior stakeholders to improve products and outcomes
- Contributing to system and process improvements
- Helping shape how data is used across the business
This isn’t just about reporting numbers - it’s about understanding what they mean, and what we should do next.
What success looks like: In this role, success is about how quickly you build understanding, the quality of your insight, and the impact your work has on the wider business. You get up to speed quickly and build a strong understanding of our products, platforms, and data. Your reporting goes beyond numbers—it’s used to drive decisions, not just describe performance. You identify trends and opportunities others haven’t spotted. Stakeholders trust your input and involve you early. You actively contribute to improving how we build products and use data. Over time, you move from supporting delivery to influencing decisions and outcomes across the business.
About you: This role is ideal for a graduate or someone with experience looking to build a career in data, product, or analytics. You’ll likely bring:
- Strong analytical and problem-solving skills
- Confidence working with data and identifying trends
- Clear communication - you can explain insight in a simple, practical way
- An interest in technology, product development, or how systems work
You’ll also be:
- Curious - you want to understand how things work and how to improve them
- Proactive - you don’t wait to be told what to do
- Comfortable working in a fast-moving environment
- Organised, with the ability to manage multiple priorities
- Motivated to learn, develop, and take on more responsibility
If you’re looking for a role where you can build real capability, work closely with the business, and see the impact of what you do - this is a great place to start. Applicants must have the legal right to work in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Product and Data Analyst in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Shape Underwriting when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Shape Underwriting.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Shape Underwriting.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Shape Underwriting’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Product and Data Analyst in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Shape Underwriting, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Shape Underwriting aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Shape Underwriting
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
